Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. Artificial Intelligence (AI) in healthcare is the use of computational algorithms that mimic human cognitive functions to analyze complex medical data. AI technologies like machine learning (ML) support the integration of biological, psychological, and social factors when approaching diagnosis, prognosis, and treatment of disease. This paper serves to acquaint clinicians and other stakeholders with the use, benefits, and limitations of AI for predicting, diagnosing, and classifying mild and major neurocognitive impairments, by providing a conceptual overview of this topic with emphasis on the features explored and AI techniques employed. We present studies that fell into six categories of features used for these purposes: (1) sociodemographics; (2) clinical and psychometric assessments; (3) neuroimaging and neurophysiology; (4) electronic health records and claims; (5) novel assessments (e.g., sensors for digital data); and (6) genomics/other omics. For each category we provide examples of AI approaches, including supervised and unsupervised ML, deep learning, and natural language processing. AI technology, still nascent in healthcare, has great potential to transform the way we diagnose and treat patients with neurocognitive disorders.
In the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), gambling disorder was recategorized from the “Impulse Control Disorder” section to the newly expanded “Substance-related and Addictive Disorders” section. With this move, gambling disorder has become the first recognized nonsubstance behavioral addiction, implying many shared features between gambling disorder and substance use disorders. This review examines these similarities, as well as differences, between gambling and substance-related disorders. Diagnostic criteria, comorbidity, genetic and physiological underpinnings, and treatment approaches are discussed.
Purpose -The literature on campus police (CP) is not as developed as mainstream or municipal police (MP). While there are several studies discussing the perception of CP, there are, however, no empirical studies investigating the perception of CP based on their legitimacy. Through the theoretical framework of liminality, this paper aims to address the literature gap by examining the perceived legitimacy of CP compared to MP. Design/methodology/approach -Data were collected through the use of survey instruments distributed among 593 college undergraduates at a doctoral extensive land grant institution in the Pacific Northwest. Since the purpose of the study was to determine student perceptions of legitimacy between MP and CP, two surveys were utilized to capture those perceptions, one for each police group respectively. The two sets of surveys were equally administered in each selected class. Findings -Through the framework of liminality, this research demonstrates the marginalization of CP as sworn law enforcement officers, especially when compared to their MP counterparts. Research limitations/implications -As this is the first study addressing the perceived legitimacy of the CP there needs to be further research in this area before substantial conclusions can be reached. Future research in this area should address the opinions of minority students, faculty and staff. Additionally, CP and MP officers themselves should be assessed to determine any potential legitimacy concerns based on perception. Originality/value -The theoretical framework reveals that the CP are trapped in a liminal state and are unable to transition into perceived legitimate police officers.
This research explores: (1) the occupational identity of fish and wildlife police agencies and (2) considers an emerging concern that these agencies have widened their work priorities to include more traditional law enforcement. To investigate these issues a content analysis of state level law enforcement agency websites with a fish and wildlife focus is used to better understand how they self-identify (agency name and job titles), their mission statements, the scope of power sworn officers have (limited to special purpose or inclusive of general law enforcement powers), and the educational and training requirements to support their stated agency missions. The findings demonstrate fish and wildlife police agencies are engaged in a scope of work that supports a general law enforcement role. This study demonstrates many fish and wildlife police agencies and their officers appear to be transitioning roles into more generalized law enforcement officers, but this change is not universal.
Misconceptions regarding TBI remain highly prevalent within the general public and may be explained, to some extent, by inefficiencies in current TBI-education practices. Moreover, misconceptions regarding PCS and CTE are also prevalent and likely reflect inconsistencies in the scientific literature, coupled with misleading media reports. To combat these trends, greater emphasis must be placed on construct definition within the field and streamlined, efficient communication with the general public.
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